4 papers
Neural Question Answering at BioASQ 5B
Georg Wiese, Dirk Weissenborn, Mariana Neves
This paper describes our submission to the 2017 BioASQ challenge. We participated in Task B, Phase B which is concerned with biomedical question answering (QA). We focus on factoid…
Neural Domain Adaptation for Biomedical Question Answering
Georg Wiese, Dirk Weissenborn, Mariana Neves
Factoid question answering (QA) has recently benefited from the development of deep learning (DL) systems. Neural network models outperform traditional approaches in domains where…
Neural Associative Memory for Dual-Sequence Modeling
Dirk Weissenborn
Many important NLP problems can be posed as dual-sequence or sequence-to-sequence modeling tasks. Recent advances in building end-to-end neural architectures have been highly succe…
MuFuRU: The Multi-Function Recurrent Unit
Dirk Weissenborn, Tim Rocktäschel
Recurrent neural networks such as the GRU and LSTM found wide adoption in natural language processing and achieve state-of-the-art results for many tasks. These models are characte…